Computers and Math from Science Daily Feed

Scientists introduce what they call 'simultaneous and heterogeneous multithreading' or SHMT. This system doubles computer processing speeds with existing hardware by simultaneously using graphics processing units (GPUs), hardware accelerators for artificial intelligence (AI) and machine learning (ML), or digital signal processing units to process information.

Researchers have created an open-source platform known as A-SOiD that can learn and predict user-defined behaviors, just from video.

Physicists explore different AI learning methods, which can lead to smarter and more efficient models.

A new technique can help researchers who use Bayesian inference achieve more accurate results more quickly, without a lot of additional work.

Physicists have observed fractional quantum Hall effect in simple pentalayer graphene. The finding could make it easier to develop more robust quantum computers.

A team composed of engineers, physicists, and data scientists have harnessed the power of artificial intelligence to predict -- and then avoid -- the formation of a specific plasma problem in real time. The research opens the door for more dynamic control of a fusion reaction than current approaches and provides a foundation for using artificial intelligence to solve a broad range of plasma instabilities, which have long been obstacles to achieving a sustained fusion reaction.

Scientists unveil metasurface technology, allowing for angle-dependent holograms.

Using a single photograph, researchers created an algorithm that computes highly accurate, full-color three-dimensional reconstructions of areas behind obstacles -- a concept that can not only help prevent car crashes, but help law enforcement experts in hostage situations, search-and-rescue and strategic military efforts.

Fashioned from the same element found in sand and covered by intricate patterns, microchips power smartphones, augment appliances and aid the operation of cars and airplanes. Now, scientists are developing computer simulation codes that will outperform current simulation techniques and aid the production of microchips using plasma, the electrically charged state of matter also used in fusion research. These codes could help increase the efficiency of the manufacturing process and potentially stimulate the renaissance of the chip industry in the United States.

Despite significant progress in developing AI systems that can understand the physical world like humans do, researchers have struggled with modelling a certain aspect of our visual system: the perception of light.

A new study reveals that passive video use among toddlers can negatively affect language development, but their caregiver's motivations for exposing them to digital media could also lessen the impact.

A collaborative project has made a breakthrough in enhancing the speed and resolution of wide-field quantum sensing, leading to new opportunities in scientific research and practical applications.

Single-molecule magnets (SMMs) are exciting materials. In a recent breakthrough, researchers have used deep learning to predict SMMs from 20,000 metal complexes. The predictions were made solely based on the crystal structures of these metal complexes, thus eliminating the need for time-consuming experiments and complex simulations. As a result, this method is expected to accelerate the development of functional materials, especially for high-density memory and quantum computing devices.

New phased-array transmitter design overcomes common problems of CMOS technology in the 300 GHz band. Thanks to its remarkable area efficiency, low power consumption, and high data rate, the proposed transmitter could pave the way to many technological applications in the 300 GHz band, including body and cell monitoring, radar, 6G wireless communications, and terahertz sensors.

Researchers have developed a powerful new artificial intelligence model that can distinguish between male and female brains.

Researchers propose a framework for integrating online digital data into biodiversity monitoring.

Engineers have developed a new chip that uses light waves, rather than electricity, to perform the complex math essential to training AI. The chip has the potential to radically accelerate the processing speed of computers while also reducing their energy consumption.

Creating a quantum computer powerful enough to tackle problems we cannot solve with current computers remains a big challenge for quantum physicists. A well-functioning quantum simulator -- a specific type of quantum computer -- could lead to new discoveries about how the world works at the smallest scales. Quantum scientists have developed a guide on how to upgrade these machines so that they can simulate even more complex quantum systems.

Making quantum systems more scalable is one of the key requirements for the further development of quantum computers because the advantages they offer become increasingly evident as the systems are scaled up. Researchers have recently taken a decisive step towards achieving this goal.

New research shows that background checks for employment, housing and more can be highly problematic.